Analysis of dna samples

ABSTRACT

The invention provides an improved method for obtaining information about DNA analysis of samples of uncertain origin by establishing the likelihood that they arose in certain manners compared with other possible manners. In this way all of the analysis information is taken into account and likelihood ratios are provided to express the results. The invention is particularly useful in analysing small DNA samples or DNA samples where the contribution from one or more sources is small.

This application is Continuation of Ser. No. 12/643,723, filed Dec. 21,2009, which is a Continuation of Ser. No. 12/042,894, filed Mar. 5,2008, which is a Continuation of Ser. No. 10/977,698, filed Oct. 29,2004, which is a Continuation of Ser. No. 09/834,822, filed Apr. 13,2001 and which claims benefit of Serial No. 0009294.0, filed Apr. 15,2000 in the United Kingdom and which applications are incorporatedherein by reference. To the extent appropriate, a claim of priority ismade to each of the above disclosed applications.

This invention concerns improvements in and relating to analysis of DNAsamples, particularly, but not exclusively, in relation to analysis ofDNA samples formed of only a few cells.

A variety of situations, including forensic investigation, make itdesirable to be able to obtain information about DNA in a sample andexpress how reliable that information is. There are particular problemsin analysing small DNA samples and as such present techniques tend toinvolve a substantial level of amplification for the DNA followed byexamination of the results by an expert in interpreting suchinvestigations. Such examinations are extremely complex. The expertgenerally deploys his knowledge to determine which of the individualresults can be relied upon and which should be discounted when reachingthe overall result. This approach by its very nature is subjective andonly makes use of some of the actual individual results obtained whenmaking a determination. Additionally the need for an expert analysisintroduces a restriction on who can perform the review, and hence on thecost and time taken to perform the review.

The present invention has amongst its aims to provide a technique inwhich all information in an analysis result for a DNA sample is comparedwith results for reference samples with a view to determining aprobability of a match between the test sample and each of the referencesamples by calculating likelihood ratios. The present invention hasamongst its aims to provide a technique in which all of the informationobtained from the analysis of the DNA sample is used in thedetermination of the results. The present invention has amongst its aimsto provide a technique in which the impact of potential spurious resultscan be quantified. The present invention has amongst its aims atechnique for validating approximations which may be made in theanalysis of DNA sample. The present invention has amongst its aims theprovision of a system which can be operated successfully by competentbut non-expert persons. The present invention has amongst its aims theprovision of providing a technique whereby complex samples that comprisemixtures may be analysed.

According to a first aspect of the invention we provide a method ofcomparing one or more reference samples of DNA with at least part of atest sample of DNA, the method including:—

the determination of the identity of the alleles present at a locus forthe DNA in the test sample, the determination defining an individualtest result, the determination being performed for a plurality of locito give a plurality of individual test results,the consideration of one of the plurality of individual test resultsagainst the individual reference result of one of the reference samplesfor the respective loci, the consideration involving an expression ofthe probability that the individual reference result for that locuscould lead by various possible routes to the individual test result forthat locus, the possible routes to the individual test result includingroutes where spurious information contributes to the individual testresult;the consideration being repeated for a plurality of loci, theexpressions of probability that the individual reference result couldlead to the individual test result for the plurality of loci beingcombined to give an expression of the probability that the test samplematches the reference sample by calculating a likelihood ratio.

The reference samples may be from known individuals and/or associatedwith other known factors, such as locations, items or events. Eachreference sample is preferably represented by one or more individualstored results. Each reference sample is preferably represented by 8 ormore individual stored results. Each reference sample is preferablyrepresented by individual stored results which provide the alleleidentity or allele identities for a given locus.

The reference samples may be stored in a database. The database may beupdated periodically. New reference samples may be added to thedatabase. Additional individual results may be added to existingreference samples.

The test sample may be from a known individual and/or be associated withone or more other known factors, such as a location, item or event thesample was recovered from.

The test sample may be from one or more sources. One or more of thesources of the sample may be known or predicted.

The identity of the alleles at one or more of the loci of the referencesample and/or test sample may be determined by short tandem repeat basedinvestigation.

Whilst the technique is applicable to all loci, the loci for whichallele identity is determined may particularly be selected to includeone or more of HUMVWFA31, HUMTH01, D21S11, D18S51, HUMFIBRA, D8S1179,HUMAMGXA, HUMAMGY, D3S1358, HUMVWA, D16S539, D2S1338, Amelogenin,D8S1179, D21S11, D18S51, D19S433, HUMTH01, HUMFIBRA/FGA. The lociselected may particularly be each of D3S1358, HUMVWA, D16S539, D2S1338,Amelogenin, D8S1179, D21S11, D18S51, D19S433, HUMTH01, HUMFIBRA/FGA.

An individual test result is preferably the allele or alleles detectedfor that given locus and/or the apparent alleles detected when thatlocus is considered. The individual test result may comprise 0 to 50alleles, but more usually comprises 0 to 32 alleles. The individual testresult may thus include the homozygous or heterozygous alleles of thetest sample's source, homozygous and/or heterozygous alleles from DNAcontamination of the test sample and/or stutters of these and/or otheramplification artifacts.

The consideration is preferably provided for between 1 and 25 loci andmore preferably between 1 and 16 loci. Preferably an equivalentconsideration process is provided for each locus.

The consideration preferably involves the determination of a likelihoodratio. The likelihood ratio preferably accounts for the probability ofthe individual sample result arising from the individual referenceresult against the probability of the individual sample result arisingfrom other than the individual reference result.

The consideration may involve the probability of the individual testresult arising given that individual reference result, including throughspurious information occurrence, divided by the probability of theindividual test result arising from other than the individual referenceresult in any way, including through spurious information occurrence.Preferably the consideration may involve the probability of theindividual test result arising given that individual reference result,including through spurious information occurrence, divided by theproduct of the probability of the individual test result arising fromother than the individual reference result, including through spuriousinformation occurrence, and the frequency of that individual storedresult in a population. More preferably the consideration may involvethe probability of the individual test result arising that individualreference result, including through spurious information occurrence, foreach individual test result, divided by the product of the probabilityof the individual test result arising from other than the individualreference result, including through spurious information occurrence, andthe frequency of that individual reference result in a population, foreach individual test result.

Complex likelihood ratios may be formulated in order to evaluated amixture. In such a case, for a known and unknown contributor scenario,the likelihood ratio may be the probability of the individual testresult arising from an individual stored result, and other than theindividual stored result divided by the probability of the individualtest result arising from other than the individual stored result andfrom other than the individual stored result.

The consideration may incorporate an assessment of spurious alleles(either stutters of contaminants or other artefacts), that are factoredinto the probability calculations. In addition, the probability ofobservation of alleles may be calculated from the frequency ofoccurrence in relevant populations and used in the consideration. Thefrequency of occurrence may be derived from an Afro-Caribbean, Asian andwhite Caucasian population. The consideration may include an adjustmentto probabilities to account for inbreeding.

The consideration may take into account more than one route involvingspurious information and/or more than one type of spurious information.

Where contamination is necessary to lead to the individual test resultthe probability preferably includes a probability term for spuriousallele occurrence.

Where contamination must not occur to lead to the individual test resultthe probability preferably includes a probability term for spuriousallele non-occurrence. Where stutter is necessary to lead to theindividual test result the probability preferably includes a probabilityterm for stutter occurrence.

Where stutter must not occur to lead to the individual test result theprobability preferably includes a probability term for stutternon-occurrence.

Where allele dropout is necessary to lead to the individual test resultthe probability preferably includes a probability term for alleledropout occurrence.

Where allele dropout must not occur to lead to the individual testresult the probability preferably includes a probability term for alleledropout non-occurrence.

Where artifact reporting is necessary to lead to the individual testresult the probability preferably includes a probability term forartifact reporting occurrence.

Where artifact reporting must not occur to lead to the individual testresult the probability preferably includes a probability term forartifact reporting non-occurrence. In the following definitions ofprobability functions, the probability function may include, and ideallyis a multiple of, the probability of that possible identity occurring ina population.

Reference to a population may include the world population, arepresentative sample there of, an arbitrary selected population,pseudo-random population, database content or other population.

Where the individual test result has two alleles, the individualreference result has two alleles and the individual reference result isa match for the individual test result in respect of both alleles, thenthe probability function may involve, with respect to the alleles of theindividual reference result, one or more of:—a probability term for oneor both alleles that drop out did not occur; a probability term for oneor both alleles that stutter did not occur; a probability term for oneor both alleles that spurious alleles did not occur, a probability termfor one or both alleles that other artifacts did not occur. Where theindividual test result has two alleles, one being one repeat unit less(or 4 bases less for a tetrameric locus) than the other, the individualreference result has two alleles and the individual reference result isa match for the individual test result in respect of the higher alleleof the individual test result, but not the lower allele, then theprobability function may involve, with respect to the alleles of theindividual reference result, one or more of:—a probability term for thematching allele that drop out did not occur; a probability term for thenon-matching allele that drop out did occur; a probability term forstutter of the matching allele that stutter did occur; a probabilityterm for one or both alleles of the individual test sample that aspurious allele occurs (preferably with a term relating to the frequencyof occurrence of that allele in a population); a probability term forone or both alleles of the individual test sample that an artifactoccurs.

Where the individual test result has two alleles, one being one repeatunit less (4 bases less for a tetrameric locus) than the other, theindividual reference result has two alleles and the individual referenceresult is a match for the individual test result in respect of the lowerallele, but not the higher allele, then the probability function mayinvolve, with respect to the alleles of the individual reference result,one or more of:—a probability term for the matching allele that drop outdid not occur; a probability term for the non-matching allele that dropout did occur, a probability term for stutter of the matching allelethat stutter did occur; a probability term for one or both alleles ofthe individual test sample that a spurious allele occurs (preferablywith a term relating to the frequency of occurrence of that allele in apopulation); a probability term for one or both alleles of theindividual test sample that an artifact occurs.

Where the individual test result has two alleles, the individualreference result has two alleles and the individual reference result isa match for the individual test result in respect of the lower allele ofthe individual test result, but not the higher allele, then theprobability function may involve, with respect to the alleles of theindividual reference result, one or more of:—where the non-matchingallele is one repeat unit more (or 4 bases more for a tetrameric locus)than the higher allele of the individual test result: a probability termfor the matching allele that drop out did not occur; a probability termfor the non-matching allele that drop out did occur; a probability termfor stutter of the non-matching allele that stutter did occur; aprobability term for one or both alleles of the individual test samplethat a spurious allele occurs (preferably with a term relating to thefrequency of occurrence of that allele in a population); a probabilityterm for one or both alleles of the individual test sample that anartifact occurs: and where the non-matching allele is not one repeatunit more (or 4 bases more for a tetrameric locus) than the higherallele of the individual test result one or more of: a probability termfor the matching allele that drop out did not occur; a probability termfor the non-matching allele that drop out did occur; a probability termfor stutter of the non-matching allele that stutter did not occur; aprobability term for one or both alleles of the individual test samplethat a spurious allele occurs (preferably with a term relating to thefrequency of occurrence of that allele in a population); a probabilityterm for one or both alleles of the individual test sample that anartifact occurs.

Where the individual test result has two alleles, the individualreference result has two alleles and the individual reference result isnot a match for the individual test result in respect of the lower orhigher allele of the individual test result, then the probabilityfunction may involve, with respect to the alleles of the individualreference result, one or more of:—where one of the non-matching alleleis one repeat unit more (or 4 bases more for a tetrameric locus) thanthe higher allele of the individual test result: a probability term forboth the non-matching alleles that drop out did not occur; a probabilityterm for stutter of one of the non-matching alleles that stutter didoccur; a probability term for one or both alleles of the individual testsample that a spurious allele occurs (preferably with a term relating tothe frequency of occurrence of that allele in a population); aprobability term for one or both alleles of the individual test samplethat an artifact occurs: and where neither the non-matching alleles isone repeat unit more (or 4 bases more for a tetrameric locus) than thehigher allele of the individual test result, one or more of: aprobability term for both the non-matching alleles that drop out didoccur; a probability term for stutter of the non-matching alleles thatstutter did not occur; a probability term for one or both alleles of theindividual test sample that a spurious allele occurs (preferably with aterm relating to the frequency of occurrence of that allele in apopulation); a probability term for one or both alleles of theindividual test sample that an artifact occurs.

Where the individual test result has two alleles, one being one repeatunit less (4 bases less for a tetrameric locus) than the other, theindividual reference result has one allele and the individual referenceresult is a match for the individual test result in respect of thehigher allele, then the probability function may involve, with respectto the alleles of the individual reference result, one or more of:—aprobability term for the matching allele that drop out did not occur; aprobability term for stutter of the matching allele that stutter didoccur; a probability term for one or both alleles of the individual testsample that a spurious allele occurs (preferably with a term relating tothe frequency of occurrence of that allele in a population); aprobability term for one or both alleles of the individual test samplethat an artifact occurs.

Where the individual test result has two alleles, one not being onerepeat unit less (4 bases less for a tetrameric locus) than the other,the individual reference result has one allele and the individualreference result is a match for the individual test result in respect ofthe higher allele, then the probability function may involve, withrespect to the alleles of the individual reference result, one or moreof:—a probability term for the matching allele that drop out did notoccur; a probability term for stutter of the matching allele thatstutter did not occur; a probability term for one or both alleles of theindividual test sample that a spurious allele occurs (preferably with aterm relating to the frequency of occurrence of that allele in apopulation); a probability term for one or both alleles of theindividual test sample that an artifact occurs.

Where the individual test result has two alleles, the individualreference result has one allele and the individual reference result is amatch for the individual test result in respect of the lower allele,then the probability function may involve, with respect to the allelesof the individual reference result, one or more of:—a probability termfor the matching allele that drop out did not occur; a probability termfor stutter of the matching allele that stutter did not occur; aprobability term for one or both alleles of the individual test samplethat a spurious allele occurs (preferably with a term relating to thefrequency of occurrence of that allele in a population); a probabilityterm for one or both alleles of the individual test sample that anartifact occurs.

Where the individual test result has two alleles, the individualreference result has one allele and the individual reference result isnot a match for the individual test result in respect of either allele,then the probability function may involve, with respect to the allelesof the individual reference result, one or more of:—where thenon-matching allele is one repeat unit more (4 bases more for atetrameric locus) than one of the individual test result alleles: aprobability term for the non-matching allele that drop out did occur; aprobability term for stutter of the non-matching allele that stutter didoccur; a probability term for one or both alleles of the individual testsample that a spurious allele occurs (preferably with a term relating tothe frequency of occurrence of that allele in a population); aprobability term for one or both alleles of the individual test samplethat an artifact occurs: and where the non-matching allele is not onerepeat unit more (4 bases more for a tetrameric locus) than one of theindividual test result alleles one or more of: a probability term forthe non-matching allele that drop out did occur; a probability term forstutter of the non-matching allele that stutter did not occur; aprobability term for one or both alleles of the individual test samplethat a spurious allele occurs (preferably with a term relating to thefrequency of occurrence of that allele in a population); a probabilityterm for one or both alleles of the individual test sample that anartifact occurs. Where the individual test result has one allele, theindividual reference result has two alleles and the lower allele of theindividual reference result is a match for the individual test result,then the probability function may involve, with respect to the allelesof the individual reference result, one or more of:—where the higherallele of the individual reference result is one repeat unit more (4bases more for a tetrameric locus) than the allele of the individualtest result; a probability term for the matching allele that drop outdid not occur, a probability for the non-matching allele that drop outdid occur; a probability term for stutter of the non-matching allelethat stutter did occur; a probability term for one or both alleles ofthe individual test sample that a spurious allele does not occur(preferably with a term relating to the frequency of occurrence of thatallele in a population); a probability term for one or both alleles ofthe individual test sample that an artifact does not occur: and wherethe higher allele of the individual reference result is not one repeatunit more (4 bases more for a tetrameric locus) than the allele of theindividual test result one or more of: a probability term for thematching allele that drop out did not occur; a probability for thenon-matching allele that drop out did occur; a probability term forstutter of the non-matching allele that stutter did not occur; aprobability term for one or both alleles of the individual test samplethat a spurious allele does not occur (preferably with a term relatingto the frequency of occurrence of that allele in a population); aprobability term for one or both alleles of the individual test samplethat an artifact does not occur.

Where the individual test result has one allele, the individualreference result has two alleles and neither of the individual referenceresults is a match for the individual test result, then the probabilityfunction may involve, with respect to the alleles of the individualreference result, one or more of:—where one of the individual referenceresult is one repeat unit more (4 bases more for a tetrameric locus)than the allele of the individual test result: a probability term forone or both the non-matching alleles that drop out did occur; aprobability for stutter of the non-matching allele which is one repeatunit more (4 bases more for a tetrameric locus) than the individual testresult that stutter did occur; a probability term for one or bothalleles of the individual test sample that a spurious allele does occur(preferably with a term relating to the frequency of occurrence of thatallele in a population); a probability term for one or both alleles ofthe individual test sample that an artifact does occur: and whereneither of the alleles of the individual reference result is one repeatunit more (4 bases more for a tetrameric locus) than the allele of theindividual test result one or more of: a probability term for both thenon-matching alleles that drop out did occur; a probability term forstutter of the non-matching allele that stutter did not occur; aprobability term for one or both alleles of the individual test samplethat a spurious allele does occur (preferably with a term relating tothe frequency of occurrence of that allele in a population); aprobability term for one or both alleles of the individual test samplethat an artifact does occur.

Where the individual test result has one allele, the individualreference result has one allele and the alleles match then theprobability function may involve, with respect to the alleles of theindividual reference result, one or more of:—a probability term for thematching allele that drop out did not occur; a probability term forstutter for the matching allele that stutter does not occur; aprobability term for the allele of the individual test sample that aspurious allele does not occur (preferably with a term relating to thefrequency of occurrence of that allele in a population); a probabilityterm for the allele of the individual test sample that an artifact doesnot occur.

Where the individual test result has one allele, the individualreference result has one allele and the alleles do no match then theprobability function may involve, with respect to the alleles of theindividual reference result, one or more of:—where the non-matchingallele of the individual reference result is one repeat unit more (4bases more for a tetrameric locus) than the allele of the individualtest result; a probability term for the non-matching allele that dropout occurs; a probability term for stutter of the non-matching allelethat stutter occurs; a probability term for the allele of the individualtest sample that a spurious allele occurs (preferably with a termrelating to the frequency of occurrence of that allele in a population);a probability term for the allele of the individual test sample that anartifact does occur.

The various possible routes for the individual stored result giving theindividual sample result may include contamination giving one or morealleles in the individual sample result not present in the individualstored result.

The various possible routes for the individual stored result giving theindividual sample result may include stutter giving one or more allelesin the individual sample result not present in the individual storedresult.

The various possible routes for the individual stored result giving theindividual sample result may include amplification of artifacts givingone or more alleles in the individual sample result not present in theindividual stored result.

The various possible routes for the individual stored result giving theindividual sample result may include allele drop out giving one or morealleles missing in the individual sample result present in theindividual stored result.

The probability function may include a probability that contaminationmay occur. The probability that contamination may occur may bedetermined by one or more control determinations. The controldeterminations may be made in parallel with the determination of theidentity of the alleles of the test sample. The control determinationsmay be made separately, for instance as a reference investigation usedsubsequently in two or more test sample determinations. The probabilitythat contamination may occur may be provided for by theoreticalpredictions.

The probability function may include a probability that stutter mayoccur. The probability that stutter may occur may be determined by oneor more control determinations. The control determinations may be madein parallel with the determination of the identity of the alleles of thetest sample. The control determinations may be made separately, forinstance as a reference investigation used subsequently in two or moretest sample determinations. The probability that stutter may occur maybe provided for by theoretical predictions.

The probability function may include a probability that allele dropoutmay occur. The probability that allele dropout may occur may bedetermined by one or more control determinations. The controldeterminations may be made in parallel with the determination of theidentity of the alleles of the test sample. The control determinationsmay be made separately, for instance as a reference investigation usedsubsequently in two or more test sample determinations. The probabilitythat allele dropout may occur may be provided for by theoreticalpredictions.

The probability function may include a probability that artifactreporting may occur. The probability that artifact reporting may occurmay be determined by one or more control determinations. The controldeterminations may be made in parallel with the determination of theidentity of the alleles of the test sample. The control determinationsmay be made separately, for instance as a reference investigation usedsubsequently in two or more test sample determinations. The probabilitythat artifact reporting may occur may be provided for by theoreticalpredictions.

The spurious information may be due to contamination effects, alleledropout effects, locus dropout effects, stutter effects, artifacteffects or other causes. The contribution of the spurious informationmay lead to an allele being present which is not part of the DNA testsample, the absence of alleles which should be present from the DNA testsample, the presence of apparent alleles in positions one repeat unit (4bases lower for a tetrameric locus) than the alleles in the DNA testsample.

Preferably the consideration is applied to a plurality of loci, ideallyall loci for which individual stored results and/or individual testresults exist.

The combination of probabilities produced by the respectiveconsiderations is preferably obtained by multiplying the probabilitiestogether.

Two or more different determinations of the identities of the alleles inthe test sample may be performed. The method may be applied to each setof individual test results thereby obtained. The expression of alikelihood ratio for respective sets of individual test results may beconsidered against one another and/or combined.

The expression of a likelihood ratio and/or a combined expression of alikelihood ratio that a given reference sample and test sample match maybe generated for a plurality, ideally all, of the reference samplesavailable. The reference samples may be ranked in order of thelikelihood ratios of a match with the test sample, ideally descendingorder.

According to a second aspect of the invention we provide a method ofindicating a likelihood ratio that evaluates that at least a part of aDNA test sample arose from a known source, the method involving:—

-   -   one or more determinations of the identity of the alleles        present at a locus for the DNA in the test sample, each        determination defining an individual test result; the        determination of at least some of the theoretical allele        identities which could have produced a given individual test        result, these identities forming the individual reference        results;    -   the determination of the identity of the alleles present at the        locus for the DNA from the known source;    -   one of the theoretical allele identities being the identity        determined for that locus for the known source;    -   the provision of a probability function for each individual        reference result considered which is representative of at least        some of the various possible routes by which that given        individual reference result may lead to the given individual        test result, that probability function further being        representative of the likelihood of that individual reference        result's occurrence and the possible routes to the individual        test result which includes routes where spurious information        contributes, this probability function forming defining the        theoretical probability functions;    -   the theoretical probability functions for different individual        reference results being combined to give an indication of the        various ways in which the given individual test result could be        reached, this combination forming the combined theoretical        probability function;    -   the provision of a probability function for the individual        reference result matching the known source's identity, which is        representative of the manner in which that individual reference        result leads to the individual test result, this forming the        known source's theoretical function;    -   the known source's theoretical function and combined theoretical        function being considered together to calculate the likelihood        ratio.

The second aspect of the invention may include features, options orpossibilities set out elsewhere in this document.

At least part of a DNA sample may refer to one source of a multi-sourceor mixed sample. The method may indicate calculation of a likelihoodratio relating to one or more sources of a defined nature, for instancethe likelihood ratio may evaluate the proposition of two definedcontributors to the sample.

The known source may refer to a known individual and/or be associatedwith one or more other known factors, such as a location, item or eventthe sample was recovered from.

The identity of the alleles at one or more of the loci of the testsample may be determined by short tandem repeat based investigation.

An individual sample result is preferably the allele or alleles detectedfor that given locus and/or the apparent alleles detected when thatlocus is considered. The individual sample result may comprise 0 to 50alleles but more usually comprises 0 to 32 alleles. The individualsample result may thus include the homozygous or heterozygous alleles ofthe test sample's source, homozygous and/or heterozygous alleles fromDNA contamination of the test sample and/or stutters of these and/orother amplification artifacts.

The consideration is preferably provided for between 1 and 25 loci andmore preferably between 1 and 16 loci. Preferably an equivalentconsideration process is provided for each loci.

Whilst the technique is applicable to all loci, the loci for whichallele identity is determined may particularly be selected to includeone or more of HUMVWFA31, HUMTH01, D21S11, D18S51, HUMFIBRA, D8S1179,HUMAMGXA, HUMAMGY, D3S1358, HUMVWA, D16S539, D2S1338, Amelogenin,D8S1179, D21S11, D18S51, D19S433, HUMTH01, HUMFIBRA/FGA. The lociselected may particularly be each of D3S1358, HUMVWA, D16S539, D2S1338,Amelogenin, D8S1179, D21S11, D18S51, D19S433, HUMTH01, HUMFIBRA/FGA.

The theoretical identities may be determined from the alleles indicatedin the individual test result. All possible theoretical identities maybe determined, but more preferably those theoretical identities whichcould reasonably lead to the individual test result are determined.Those theoretical identities defined as reasonable may be all identitieswhere an allele in the test sample is in common with the referencesample. The determination may involve providing theoretic identitiescorresponding to each permutation of two alleles, where at least one ofthose alleles matches an allele in the individual test result.

The provision of a theoretical probability function may involve theprobability of getting that individual test result in any way, includingthrough spurious information occurrence. Preferably the provision of aprobability function may involve the probability of getting thatindividual test result in any way, including through spuriousinformation occurrence, and the frequency of that given theoreticalidentity in a population. More preferably the provision of a probabilityfunction may involve the probability of getting that individual testresult in any way, including through spurious information occurrence,and the frequency of that theoretical identity in a population, for eachindividual test result.

The theoretical probability function for each individual referenceresult theoretical identity is preferably defined in part by aprobability for that individual reference results identity occurrence ina population. The theoretical probability function for each individualreference result is preferably defined in part by a probability for thevarious occurrences which would result in that individual referenceresult giving the individual test result.

Theoretical probability functions may be provided to account for each ofthe individual test results determined for a locus in the aforementionedmanner. Preferably the theoretical probability functions for eachindividual test result given an individual reference result arecombined, ideally before the theoretical probability function s fordifferent individual reference results are combined. Preferably thetheoretical probability functions for different individual test resultsare combined by multiplication. Preferably the theoretical probabilityfunctions for different individual reference results are combined byaddition.

Where contamination is necessary to lead to the individual test resultthe probability preferably includes a probability term for spuriousallele occurrence.

Where contamination must not occur to lead to the individual test resultthe probability preferably includes a probability term for spuriousallele non-occurrence.

Where stutter is necessary to lead to the individual test result theprobability preferably includes a probability term for stutteroccurrence.

Where stutter must not occur to lead to the individual test result theprobability preferably includes a probability term for stutternon-occurrence.

Where allele dropout is necessary to lead to the individual test resultthe probability preferably includes a probability term for alleledropout occurrence.

Where allele dropout must not occur to lead to the individual testresult the probability preferably includes a probability term for alleledropout non-occurrence.

Where artifact reporting is necessary to lead to the individual testresult the probability preferably includes a probability term forartifact reporting occurrence.

Where artifact reporting must not occur to lead to the individual testresult the probability preferably includes a probability term forartifact reporting non-occurrence. In the following definitions ofprobability functions, the probability function may include, and ideallyis a multiple of, the probability of that possible identity occurring ina population.

Reference to a population may include the world population, arepresentative sample there of, an arbitrary selected population,pseudo-random population, database content or other population.

Where the individual test result has two alleles, the individualreference result has two alleles and the individual reference result isa match for the individual test result in respect of both alleles, thenthe probability function may involve, with respect to the alleles of theindividual reference result, one or more of:—a probability term for oneor both alleles that drop out did not occur; a probability term for oneor both alleles that stutter did not occur; a probability term for oneor both alleles that spurious alleles did not occur, a probability termfor one or both alleles that other artifacts did not occur. Where theindividual test result has two alleles, one being one repeat unit less(or 4 bases less for a tetrameric locus) than the other, the individualreference result has two alleles and the individual reference result isa match for the individual test result in respect of the higher alleleof the individual test result, but not the lower allele, then theprobability function may involve, with respect to the alleles of theindividual reference result, one or more of:—a probability term for thematching allele that drop out did not occur; a probability term for thenon-matching allele that drop out did occur; a probability term forstutter of the matching allele that stutter did occur; a probabilityterm for one or both alleles of the individual test sample that aspurious allele occurs (preferably with a term relating to the frequencyof occurrence of that allele in a population); a probability term forone or both alleles of the individual test sample that an artifactoccurs.

Where the individual test result has two alleles, one being one repeatunit less (4 bases less for a tetrameric locus) than the other, theindividual reference result has two alleles and the individual referenceresult is a match for the individual test result in respect of the lowerallele, but not the higher allele, then the probability function mayinvolve, with respect to the alleles of the individual reference result,one or more of:—a probability term for the matching allele that drop outdid not occur; a probability term for the non-matching allele that dropout did occur; a probability term for stutter of the matching allelethat stutter did occur; a probability term for one or both alleles ofthe individual test sample that a spurious allele occurs (preferablywith a term relating to the frequency of occurrence of that allele in apopulation); a probability term for one or both alleles of theindividual test sample that an artifact occurs.

Where the individual test result has two alleles, the individualreference result has two alleles and the individual reference result isa match for the individual test result in respect of the lower allele ofthe individual test result, but not the higher allele, then theprobability function may involve, with respect to the alleles of theindividual reference result, one or more of:—where the non-matchingallele is one repeat unit more (or 4 bases more for a tetrameric locus)than the higher allele of the individual test result, a probability termfor the matching allele that drop out did not occur; a probability termfor the non-matching allele that drop out did occur; a probability termfor stutter of the non-matching allele that stutter did occur; aprobability term for one or both alleles of the individual test samplethat a spurious allele occurs (preferably with a term relating to thefrequency of occurrence of that allele in a population); a probabilityterm for one or both alleles of the individual test sample that anartifact occurs: and where the non-matching allele is not one repeatunit more (or 4 bases more for a tetrameric locus) than the higherallele of the individual test result on or more of: a probability termfor the matching allele that drop out did not occur; a probability termfor the non-matching allele that drop out did occur; a probability termfor stutter of the non-matching allele that stutter did not occur; aprobability term for one or both alleles of the individual test samplethat a spurious allele occurs (preferably with a term relating to thefrequency of occurrence of that allele in a population); a probabilityterm for one or both alleles of the individual test sample that anartifact occurs.

Where the individual test result has two alleles, the individualreference result has two alleles and the individual reference result isnot a match for the individual test result in respect of the lower orhigher allele of the individual test result, then the probabilityfunction may involve, with respect to the alleles of the individualreference result, one or more of:—where one of the non-matching alleleis one repeat unit more (or 4 bases more for a tetrameric locus) thanthe higher allele of the individual test result, a probability term forboth the non-matching alleles that drop out did not occur; a probabilityterm for stutter of one of the non-matching alleles that stutter didoccur; a probability term for one or both alleles of the individual testsample that a spurious allele occurs (preferably with a term relating tothe frequency of occurrence of that allele in a population); aprobability term for one or both alleles of the individual test samplethat an artifact occurs; and where neither the non-matching alleles isone repeat unit more (or 4 bases more for a tetrameric locus) than thehigher allele of the individual test result one or more of: aprobability term for both the non-matching alleles that drop out didoccur; a probability term for stutter of the non-matching alleles thatstutter did not occur; a probability term for one or both alleles of theindividual test sample that a spurious allele occurs (preferably with aterm relating to the frequency of occurrence of that allele in apopulation); a probability term for one or both alleles of theindividual test sample that an artifact occurs.

Where the individual test result has two alleles, one being one repeatunit less (4 bases less for a tetrameric locus) than the other, theindividual reference result has one allele and the individual referenceresult is a match for the individual test result in respect of thehigher allele, then the probability function may involve, with respectto the alleles of the individual reference result, one or more of:—aprobability term for the matching allele that drop out did not occur; aprobability term for stutter of the matching allele that stutter didoccur; a probability term for one or both alleles of the individual testsample that a spurious allele occurs (preferably with a term relating tothe frequency of occurrence of that allele in a population); aprobability term for one or both alleles of the individual test samplethat an artifact occurs.

Where the individual test result has two alleles, one not being onerepeat unit less (4 bases less for a tetrameric locus) than the other,the individual reference result has one allele and the individualreference result is a match for the individual test result in respect ofthe higher allele, then the probability function may involve, withrespect to the alleles of the individual reference result, one or moreof:—a probability term for the matching allele that drop out did notoccur; a probability term for stutter of the matching allele thatstutter did not occur; a probability term for one or both alleles of theindividual test sample that a spurious allele occurs (preferably with aterm relating to the frequency of occurrence of that allele in apopulation); a probability term for one or both alleles of theindividual test sample that an artifact occurs.

Where the individual test result has two alleles, the individualreference result has one allele and the individual reference result is amatch for the individual test result in respect of the lower allele,then the probability function may involve, with respect to the allelesof the individual reference result, one or more of:—a probability termfor the matching allele that drop out did not occur; a probability termfor stutter of the matching allele that stutter did not occur; aprobability term for one or both alleles of the individual test samplethat a spurious allele occurs (preferably with a term relating to thefrequency of occurrence of that allele in a population); a probabilityterm for one or both alleles of the individual test sample that anartifact occurs.

Where the individual test result has two alleles, the individualreference result has one allele and the individual reference result isnot a match for the individual test result in respect of either allele,then the probability function may involve, with respect to the allelesof the individual reference result, one or more of:—where thenon-matching allele is one repeat unit more (4 bases more for atetrameric locus) than one of the individual test result alleles, aprobability term for the non-matching allele that drop out did occur; aprobability term for stutter of the non-matching allele that stutter didoccur; a probability term for one or both alleles of the individual testsample that a spurious allele occurs (preferably with a term relating tothe frequency of occurrence of that allele in a population); aprobability term for one or both alleles of the individual test samplethat an artifact occurs: and where the non-matching allele is not onerepeat unit more (4 bases more for a tetrameric locus) than one of theindividual test result alleles, on or more of: a probability term forthe non-matching allele that drop out did occur; a probability term forstutter of the non-matching allele that stutter did not occur; aprobability term for one or both alleles of the individual test samplethat a spurious allele occurs (preferably with a term relating to thefrequency of occurrence of that allele in a population); a probabilityterm for one or both alleles of the individual test sample that anartifact occurs.

Where the individual test result has one allele, the individualreference result has two alleles and the lower allele of the individualreference result is a match for the individual test result, then theprobability function may involve, with respect to the alleles of theindividual reference result, one or more of:—where the higher allele ofthe individual reference result is one repeat unit more (4 bases morefor a tetrameric locus) than the allele of the individual test result: aprobability term for the matching allele that drop out did not occur, aprobability for the non-matching allele that drop out did occur; aprobability term for stutter of the non-matching allele that stutter didoccur; a probability term for one or both alleles of the individual testsample that a spurious allele does not occur (preferably with a termrelating to the frequency of occurrence of that allele in a population);a probability term for one or both alleles of the individual test samplethat an artifact does not occur: and where the higher allele of theindividual reference result is not one repeat unit more (4 bases morefor a tetrameric locus) than the allele of the individual test result,one or more of: a probability term for the matching allele that drop outdid not occur; a probability for the non-matching allele that drop outdid occur; a probability term for stutter of the non-matching allelethat stutter did not occur; a probability term for one or both allelesof the individual test sample that a spurious allele does not occur(preferably with a term relating to the frequency of occurrence of thatallele in a population); a probability term for one or both alleles ofthe individual test sample that an artifact does not occur.

Where the individual test result has one allele, the individualreference result has two alleles and neither of the individual referenceresults is a match for the individual test result, then the probabilityfunction may involve, with respect to the alleles of the individualreference result, one or more of:—where one of the individual referenceresult is one repeat unit more (4 bases more for a tetrameric locus)than the allele of the individual test result: a probability term forone or both the non-matching alleles that drop out did occur; aprobability for stutter of the non-matching allele which is one repeatunit more (4 bases more for a tetrameric locus) than the individual testresult that stutter did occur; a probability term for one or bothalleles of the individual test sample that a spurious allele does occur(preferably with a term relating to the frequency of occurrence of thatallele in a population); a probability term for one or both alleles ofthe individual test sample that an artifact does occur: and whereneither of the alleles of the individual reference result is one repeatunit more (4 bases more for a tetrameric locus) than the allele of theindividual test result, one or more of: a probability term for both thenon-matching alleles that drop out did occur; a probability term forstutter of the non-matching allele that stutter did not occur; aprobability term for one or both alleles of the individual test samplethat a spurious allele does occur (preferably with a term relating tothe frequency of occurrence of that allele in a population); aprobability term for one or both alleles of the individual test samplethat an artifact does occur.

Where the individual test result has one allele, the individualreference result has one allele and the alleles match then theprobability function may involve, with respect to the alleles of theindividual reference result, one or more of:—a probability term for thematching allele that drop out did not occur; a probability term forstutter for the matching allele that stutter does not occur; aprobability term for the allele of the individual test sample that aspurious allele does not occur (preferably with a term relating to thefrequency of occurrence of that allele in a population); a probabilityterm for the allele of the individual test sample that an artifact doesnot occur.

Where the individual test result has one allele, the individualreference result has one allele and the alleles do no match then theprobability function may involve, with respect to the alleles of theindividual reference result, one or more of:—where the non-matchingallele of the individual reference result is one repeat unit more (4bases more for a tetrameric locus) than the allele of the individualtest result: a probability term for the non-matching allele that dropout occurs; a probability term for stutter of the non-matching allelethat stutter occurs; a probability term for the allele of the individualtest sample that a spurious allele occurs (preferably with a termrelating to the frequency of occurrence of that allele in a population);a probability term for the allele of the individual test sample that anartifact does occur.

The various possible routes for the individual reference result givingthe individual test result may include contamination giving one or morealleles in the individual test result not present in the individualreference result.

The various possible routes for the individual reference result givingthe individual test result may include stutter giving one or morealleles in the individual test result not present in the individualreference result.

The various possible routes for the individual reference result givingthe individual test result may include amplification of artifacts givingone or more alleles in the individual test result not present in theindividual reference result.

The various possible routes for the individual reference result givingthe individual test result may include allele drop out giving one ormore alleles missing in the individual test result present in theindividual reference result.

The probability function may include a probability that contaminationmay occur. The probability that contamination may occur may bedetermined by one or more control determinations. The controldeterminations may be made in parallel with the determination of theidentity of the alleles of the test sample. The control determinationsmay be made separately, for instance as a reference investigation usedsubsequently in two or more test sample determinations. The probabilitythat contamination may occur may be provided for by theoreticalpredictions.

The probability function may include a probability that stutter mayoccur. The probability that stutter may occur may be determined by oneor more control determinations. The control determinations may be madein parallel with the determination of the identity of the alleles of thetest sample. The control determinations may be made separately, forinstance as a reference investigation used subsequently in two or moretest sample determinations. The probability that stutter may occur maybe provided for by theoretical predictions.

The probability function may include a probability that allele dropoutmay occur. The probability that allele dropout may occur may bedetermined by one or more control determinations. The controldeterminations may be made in parallel with the determination of theidentity of the alleles of the test sample. The control determinationsmay be made separately, for instance as a reference investigation usedsubsequently in two or more test sample determinations. The probabilitythat allele dropout may occur may be provided for by theoreticalpredictions.

The probability function may include a probability that artifactreporting may occur. The probability that artifact reporting may occurmay be determined by one or more control determinations. The controldeterminations may be made in parallel with the determination of theidentity of the alleles of the test sample. The control determinationsmay be made separately, for instance as a reference investigation usedsubsequently in two or more test sample determinations. The probabilitythat artifact reporting may occur may be provided for by theoreticalpredictions.

The spurious information may be due to contamination effects, alleledropout effects, locus dropout effects, stutter effects, artifacteffects or other causes.

The contribution of the spurious information may lead to an allele beingpresent which is not part of the DNA test sample, the absence of alleleswhich should be present from the DNA test sample, the presence ofapparent alleles in positions one repeat unit less (or 4 bases less fora tetrameric locus) than the alleles in the DNA test sample.

The theoretical probability functions may be combined to give theoverall combined theoretical probability function by summing thetheoretical probability functions together.

The provision of the probability function results matching the knownsource's identity may involve the probability of getting that individualtest result given that individual reference result, including throughspurious information occurrence. Preferably the provision of theprobability function for the individual reference may involve theprobability of getting that individual test result given that individualreference result, including through spurious information occurrence, foreach individual test result. The known source's theoretical function andcombined theoretical function may be combined as a ratio, preferably asa likelihood ratio. The likelihood ratio preferably accounts for theprobability that a given individual reference result/theoreticalidentity leads to the individual test result against the probabilitythat the individual test result was lead to in another way. Thelikelihood ratio may be the known source's theoretical function dividedby the combined theoretical function.

Preferably the method is repeated for a plurality of loci, ideally allloci for which individual test results exist. The likelihood ratioobtained for each loci may be multiplied together to give a combinedloci likelihood ratio.

Two or more different determinations of the identities of the alleles inthe test sample may be performed. The method may be applied to each setof individual test results thereby obtained. The expression of thelikelihood ratio for respective sets of individual test results may beconsidered against one another and/or combined.

According to a third aspect of the invention we provide a method ofinvestigating the acceptable values for one or more variables relatingto a DNA sample analysis, the method involving:—

the consideration of one or more probability functions used in a methodof indicating the likelihood ratio that at least part of a DNA samplearose from a known source, at least one of the probability functionsbeing defined by an approximating function and a scaling factor, thescaling factor including at least one of the variables as a term;the value for one or more of the variables in the scaling factor beingassigned a plurality of different values and the value of the scalingfactor being considered at each of those different values;the value or values for the one or more variables being deemedacceptable when the value of the scaling factor is within apredetermined or acceptable range.

The third aspect of the invention may include any of the features,options or possibilities set out elsewhere in this document, includingthe first and/or second aspects of the invention.

The DNA sample analysis is preferably a consideration of the likelihoodratio that a sample arose from one or more scenarios compared with thesample arising from the other possible scenarios.

The probability functions may be particularly provided according to thedefinitions of the first and/or second aspects of the invention. Theprobability functions preferably take into account the probability ofspurious information potentially contributing to the results obtainedupon analysis of the sample.

The approximating function may provide an indication of the probabilitywithin certain acceptable ranges for potential variables of the analysisprocess. The approximating function may be an accurate assumption of theprobability within these acceptable ranges. The approximating functionmay be an inaccurate assumption of the probability outside theseacceptable ranges.

The scaling factor may account for one or more variables in theanalysis. The one or more variables may be sources of error. The one ormore variables may be probabilities of spurious information contributingto the results of the analysis of the sample. The spurious informationsources may be one or more of allele/locus dropout, stutter,contamination or artifact reporting.

The variable value is preferably between 0 and 1 inclusive. The variablevalue may be assigned values at increments of 0.1 or less for theinvestigation. Preferably each combination of the incremental values isconsidered for the variables which contribute to a given scaling factor.A scaling factor may involve one, two, three, four or more variablesdepending upon the scaling factor. Preferably values for the scalingfactor are determined for all possible combinations of the variable'svalues.

The acceptable range is preferably a range in which the scaling factorhas a minimal effect on the probability function if it is includedcompared with if it is excluded. The range for the scaling factor may bebetween 0.9 and 1.1 in some cases. In other cases the scaling factor maybe between 0.9 and 1.

According to a fourth aspect of the invention we provide a method ofindicating a likelihood ratio that at least a part of a DNA sample arosefrom a known source or sources, the method involving:—

the determination of the identity of the alleles present at a locus forthe DNA in the sample, the determination defining an individual testresult;the determination of the identity of the alleles present at the locusfor the known source;the consideration of a likelihood ratio that the known source leads tothe individual test result compared with the other possible routes tothe individual test result, the likelihood ratio being based on one ormore probability functions, at least one of the probability functionsbeing defined by an approximating function and a scaling factor, thescaling factor including at least one variable term relating to theprobability of spurious information potentially contributing to theindividual result;the value of one or more of the variables being determined for themethod;the determined value of the one or more variables being consideredagainst an acceptable range for that variable and/or the value of one ormore of the scaling factors being considered against its acceptablerange given that determined value for that variable, one or more of theprobability functions defined by a scaling factor including thatvariable being deemed defined by the approximating function where thatvariable has a value within its acceptable range and/or where thescaling factor has a value within its predetermined or acceptable range,the so defined one or more probability functions being used as the basisfor the likelihood ratio.

The fourth aspect of the invention may include any of the features,options or possibilities set out elsewhere in this document, includingthe first and/or second and/or third aspects of the invention.

The value of one or more of the variables may be determined for themethod in a different way from the determination of one or more othervariables. The determination may be carried out for the laboratory wherethe analysis of the DNA sample will be performed. The determination maybe performed alongside the analysis. The determination may be performedseparately form the analysis, including periodic determinations and evenone off determinations. The determination may be made using controlanalyses, including negative and/or positive controls. Experimentaldeterioration is preferred for the contamination value, for instance.The determination may be made theoretically.

The acceptable range is preferably a range in which the scaling factorhas a minimal effect on the probability function if it is includedcompared with if it is excluded. The range for the scaling factor may bebetween 0.9 and 1.1 in some cases. In other cases the scaling factor maybe between 0.9 and 1.

The probability functions may be defined by the approximating functionand scaling factor where the variable values for that probabilityfunction and/or the scaling factor value for that probability functionis outside the acceptable ranges. One or more probability functionsdefined by the approximating function and scaling factor may be used incombination with one or more probability functions defined by theapproximating function, but in general all the probability functionswill be defined by either the approximating function and scaling factoror by the approximating factor alone.

The invention will now be described, by way of example only, and withreference to the accompanying drawings in which:—

FIG. 1 illustrates the consideration of results from DNA analysis in atechnique not according to the present invention;

FIG. 2 illustrates the consideration of results from DNA analysis in atechnique according to one embodiment of the present invention;

FIG. 3 provides Table 1 which illustrates the calculation of thecomponents of the likelihood ratio for an example where three individualresults show evidence of spurious bands and allele dropout;

FIG. 4 illustrates Table 2 and the calculation of the components of thelikelihood ratio for an example involving stutter;

FIG. 5 illustrates graphically the testing of the robustness of the Fdesignation from example 1a;

FIG. 6 a illustrates graphically the evaluation of scaling factor inexample 1c;

FIG. 6 b illustrates graphically the evaluation of the scaling factor ofexample 1c three dimensionally;

FIG. 7 a illustrates graphically the evaluation of the scaling functionfrom example 2a;

FIG. 7 b illustrates graphically the evaluation of the scaling factorfrom example 2a three dimensionally;

FIG. 8 a illustrates graphically the evaluation of the scaling factorfrom example 2b;

FIG. 8 b illustrates graphically the evaluation of the scaling factorfrom example 2b three dimensionally;

FIG. 9 illustrates graphically the evaluation of the scaling functionfrom example 3a; and

FIG. 10 represents Table 3, an analysis of p(D) parameters derived fromexperimental observation.

In any DNA analysis technique the individual results can includeinformation not arising from the DNA actually under investigation and/ornot accurately represent the variations in the DNA in question which isactually being considered. This is particularly true for analysistechniques where amplification occurs, such as PCR based analysis. Theproblems become increasingly significant as the size of the initial DNAsample to be investigated becomes smaller. By the time investigations ona small number of cells are considered, 10 or less for instance, thensubstantial potential for such issues exists. In particular, even thelowest levels of DNA contamination from sample collection, laboratoryhandling or the equipment itself can have a marked effect on theindividual results obtained. Additionally locus or allele dropout canoccur and the amplified products may not fully reflect the DNA of thesample. There is also the possibility that stutters in the results willbe in distinguishable from genuine allele results.

The outcome of these factors and others is that the potential foranalysing small DNA samples is presently limited and where analysis iscarried out it has to be handled by experts. Based on their knowledgeand experience such expert individuals are able to consider theindividual results and discard an individual result from furtherconsideration where there is a question mark over it. This may lead to asubstantial number of occasions where the individual result has to bediscounted due to a negative control providing a response, withconsequential cost and time implications. Additionally such processesare by their very nature subjective and equivalent sets of individualresults may be handled by different experts in different ways. Thediscarding of many individuals from the initial set of results fromfurther consideration also means that a high proportion of theindividual results do not contribute in anyway to the overall findings.

The techniques of the present invention, whilst particularly useful inrelation to consideration of small DNA samples, are useful in all DNAanalysis techniques based around similar considerations.

The present invention in one embodiment below, aims to provide a systemwhich takes in to account all the information obtained on a sample ofunknown source and expresses a likelihood ratio that it matches witheach of various known reference samples, rather than indicating a matchor non-match against each. The present invention thus aims to reduce theskill required to perform an analysis but improve the accuracy and/orlevel of information provided by the analysis.

The present invention in one embodiment below, aims to provide a systemwhich accounts for the other sources of information effectively and in astandardised way. The present invention, as embodied below, aims toprovide results which are based on all of the initial individual resultsobtained, rather than the results after a screening process. In anotherembodiment, described below, the present invention aims to investigateand determine the impact of the other sources of information andparticularly their probability of occurrence on a process forinvestigating DNA samples.

In another embodiment of the present invention, described below, theinvention aims to provide a system which provides results for a DNAanalysis technique based on certain approximations as to how the resultsare calculated, but with the validity of those approximations beingchecked.

The invention, as embodied below, aims to provide an effective processwhich does not require human expertise to interpret.

Sources of Spurious Information

To understand the operation of the invention it is useful to understandthe nature of some of the possible error and other information sourceswhich might be accounted for using the present invention. Thepredominant forms which can be accounted for are contamination withother DNA not originally in the sample; locus or allele drop out forinformation in the sample but not reporting in the results obtained; andstuttering where the amplified products include identities which are onerepeat unit (or four bases less for a tetrameric locus) less than theassociated allele and may be an allele too or a false amplificationproduct.

Contamination of the DNA sample by DNA which was not originally part ofthe sample is a significant issue when small DNA samples are beingamplified. Laboratory induced contamination is likely to occur onoccasions as equipment and handling is not totally clean. Contaminationresults from fragments of cells in such amplification processes would besufficient to give spurious results. Merely discarding an individualtest when the negative control produces a result is not a viable optionfor small DNA sample analysis as a proportion of tests might give such anegative control result.

Locus/allele drop out is also a potential problem particularly withamplification of small DNA samples. A heterozygote sample should producetwo alleles of the locus upon amplification. However, becauseamplification is an essentially random process, the fact that theamplification starts from only a few molecules may mean that problemswith amplifying one of those alleles at an early stage lead to it notbeing present to a detectable degree in the amplification product. Thiscan imply a homozygote identity where in reality the identity isheterozygote.

Stutters are artifacts from short tandem repeat systems and generallyrepresent results one repeat unit (or four bases less for a tetramericlocus) than the associated allele. Whilst stutters are predictable whenlarge samples are amplified (they generally form a 15% peak comparedwith the associated allele peak). This is not the case in small sampleamplification. As a consequence, stutters can appear close to and evenexceed the size of the actual allele peaks. This can be a significantissue, particularly if the sample might be heterozygote with one of thealleles being four bases less than the other, and could consequently beconfused with homozygote and stutter result.

Expressing a Likelihood of Match Between Test Sample and ReferenceSamples

In present analysis systems the result of the expert analysis is eitherthat an individual result for the unknown sample is discounted fromfurther consideration or is included in the results for furtherconsideration. Thus the raw individual results, set A may be whittleddown by the expert, excluding individual results which are caused forquestion, to give the individual results included for furtherconsideration, set B in FIG. 1. This screened set, set B, is thencompared with stored results for various samples of known origin, asexemplified by sets C and D in FIG. 1. A match is either agreed betweenthe alleles forming the individual results, as between set B and set Cin FIG. 1, or a match is not agreed, as between set B and set D inFIG. 1. Thus only some of the initial individual results are carriedforward and the overall result is a match or not. The extent of thequestion marks over the raw individual results may lead to a substantialnumber being inconclusive and hence the match/non-match decision may bemade based on a few points only and hence be of reduced statisticalsignificance.

The technique in this embodiment of the present invention uses a verydifferent approach. Once again, FIG. 2, the raw results are generated bythe analysis process, set A. No screening process is carried out,however, and hence no expert input is required. Instead all the resultsare carried forward into set B which is used for comparison purposeswith the stored results.

For explanatory purposes only a single stored result is considered forcomparison, but in reality many such stored results would be consideredin an equivalent manner. In basic terms the chance that each individualresult in the test sample could have arisen given the stored sampleresult for the same locus and the various possibilities by whichdifferences between the two could have arisen are considered. Thus, inthe case of result E from set B alleles 16, 20 are observed and a directmatch with the stored sample does not occur as that has allele 20 only.However, the technique considers the possibility that the 16 could haveoccurred due to contamination of the test sample with DNA have allele 16and/or the possibility that the 16 could be a stutter for the 20 allelepresent in the DNA. In a similar vein for result F from set B, allele 22only, no match occurs as the stored sample has alleles 20 and 22. Ratherthan declaring a non-match, however, the technique considers thepossibility that the 20 allele was not reported due to allele drop outduring amplification.

In general it is preferred that the result be reported in terms of alikelihood ratio, based on the format, likelihood ratio, LR, is givenby:—

LR=Probability of the test sample result if it has the same origin asthe stored sample

-   -   Probability of the test sample result if it does not have the        same origin as the stored sample

By pursuing such an approach for each of the individual results of thetest sample against the individual results of the stored sample anoverall likelihood that the test sample is a match for that particularstored sample can be obtained. Whilst the LR considers the likelihoodagainst any way the test sample result could be reached, this may berestricted in practice to reasonable ways to simplify the calculations,but without loss of accuracy as the other ways are statistically veryunlikely. From such overall likelihood ratios for a large number ofstored samples lists can be obtained of descending likelihood ratios tobe made between the stored samples and the test sample. Such a listingis more informative than a match or non-match statement, is lesssubjective as it does not involve an initial subjective screeningprocess and is potentially more statistically significant as a greaternumber of individual results are considered.

The above mentioned technique means that all individual results areincluded for consideration; there is no need to exclude fearedcontamination results, stutter results or other artifact results fromconsideration. These events can be fully accounted for in thestatistical consideration of the matter. There is also no need to worrythat allele drop out will lead to an inconclusive or a non-matchconclusive as the possibility of this occurring can be built in to theconsideration.

Whilst the above mentioned considerations are particularly significantin small sample DNA analysis they are potential issues in all suchanalyses and benefits from the use of the technique thus apply in alllevels of DNA consideration. The advantages in terms of removingsubjective decisions also apply whatever the amount of starting DNA.

This type of technique can significantly simplify the interpretation ofmixed DNA samples. Such situations occur, for instance, where a suspectmay or may not have contributed to the mixture along with another knownperson and/or another unknown person as against the sample arising froman unknown person and another known person and/or unknown person. Asagainst the previous methodology where interpretation was oftenimpossible, the present invention always allows a likelihood ratio to bepresented. Thus a likelihood ratio may be expressed as:—

LR=Probability of the evidence if it comes from the stored sample and anunknown sample

-   -   Probability of the evidence if it comes from two unknown samples

In such a case the analysis can consider each stored sample in thedatabase in turn in making such an analysis.

Performing such considerations in an automated manner allows rapidconsideration of a large number of stored samples against a test sampleand/or allows a variety of scenarios to be considered (mixture is fromsuspect A and suspect B; mixture is from suspect A and suspect C;mixture is from suspect A and an unknown; etc,) very rapidly. Thisimprovement is achieved whilst reducing cost and de-skilling theprocedure.

The manner in which the probability of stored individual results leadingto test individual result is set out in more detail below, in adifferent situation, but for which the same general principles apply.

Accounting for all Results

The technique of the invention generally aims to provide a likelihoodratio, LR, for the event being considered. In many cases this may be thelikelihood that a suspect was the source of the DNA being analysedcompared to the likelihood that the DNA source was someone else.

Given the potential impact of the other information sources, one or moreof these is taken into account using the technique of the presentinvention to provide a fuller appreciation of the circumstances whichmay have generated the DNA sample. In the first example discussed thepotential impact of contamination and allele dropout are considered, butthe technique is capable of application to other information sources andissues too. Whatever the likelihood ratio analysis the initial resultsmust be obtained. To achieve this the collected sample is subjected toan amplification process such as PCR, to make many multiple copies ofthe DNA present in the initial sample. Where the initial sample isformed of only a few cells the number of cycles used may be between 30and 34 cycles to achieve the necessary number of copies. Theamplification process is generally concerned with producing enoughmaterial for effective investigation of the allele identity at a largenumber of locations. Techniques for analysing mixtures are known basedaround the use of short tandem repeats (STR's) as described by Claytonet al (1998) Analysis and Interpretation of Mixed Forensic Stains UsingDNA STR Profiling, Int. J. Forensic Sci. 91, 55-70.

Example Contamination and Allele Drop Out Impact

In general terms the likelihood ratio in such cases considers theproduct of:—

-   -   the probability that a given individual result for a locus under        test arose, given the suspect's identity (homozygote) or        identities (heterozygote) for the locus, by the various possible        routes, including the suspects potential contribution and the        potential other information source contribution for each of the        given individual results; as the numerator relative to the        product of:—    -   the probability that a given individual result for a locus under        test arose given one of all the possible identity combinations        for that locus, by the various possible routes, including        potential other information source contributions for each of the        given individual results and each of the possible identity        combinations; and    -   the probability of that identity combination occurring; as the        denominator. To exemplify this approach in more detail a sample        calculation based on three different individual results being        obtained for a given locus is considered against a suspects        identity for that locus. The three individual results are:—        -   R₁=12        -   R₂=16        -   R₃=12,16            with the suspects identity being 12,16.

If H₁ is the probability of the evidence if the profile is the suspect'sand H₂ is the probability of the evidence if the profile is of someoneother than the suspect, then the process starts by considering all thereasonable identities which might have occurred for the alleles underquestion. It is possible to account for all the possible identitieswhich might have occurred for the alleles, but many of these are sounlikely as to not need accounting for in practice. The first column ofTable 1 (FIG. 3) accounts for the three likely identities in this case,12,12; 12, 16; 16,16.

In the next stage the probability of that allele identity occurring isstated, column 2, giving f₁₂ ²; 2f₁₂f₁₆; f₁₆ ²; respectively, the2f₁₂f₁₆ reflecting the fact that the identity could have been 12,16; or16,12. This gives the relative balance between the various identitiesbeing the one to account for one or more of those allele identitiesbeing relatively rare, for instance.

In the next stage, column 3, the manner in which the first individualresult, 12, could be reached given each of the three allele identitiesis evaluated. Thus if the allele identity where 12, 12, the way in whichthe individual result 12 occurred would be that there was nocontamination of the sample and there was no allele drop out for thesample in that test. Thus the probability of this individual resultarising with this identity is the probability that there is no alleledrop out, designated p ( D) multiplied by the probability that there isno contamination or spurious results, designated p( C). For this resultwith allele identity 12, 16 the probability is the probability of alleledrop out (to account for 16 not reporting) multiplied by the probabilityof no allele drop out (to account for 12 reporting) multiplied by theprobability of no spurious reports (to account for no spurious 16arising). The equivalent process for result 12 with possible alleleidentity 16, 16 would be the product of the probability of alleledropout (to account for 16 not being reported), the probability ofspurious reports (to account for 12 being reported) and the probabilityof 12 occurring as an allele (to account for differences in thelikelihoods of that particular spurious allele occurring).

This process is repeated in columns 4 and 5 of Table 1 for the variousindividual results and possible identity combinations.

In practice the process would be repeated for a large number ofindividual results. Column 6 of Table 1 represents the product ofcolumns 2, 3, 4 and 5 and relates to the overall probability that theallele identity that row represents the set of actual individualresults. The sum of column 6 gives the overall denominator for thelikelihood ratio. The numerator for the likelihood ratio is the productof columns 3, 4 and 5 for the row having the identity corresponding tothe suspect's identity/alleles, in this case row 3. Overall this givesthe formula:—

$\frac{{p( \overset{\_}{D} )}^{4}{p( \overset{\_}{C} )}^{3}{p(D)}^{2}}{\begin{matrix}{{{p( \overset{\_}{D} )}^{2}{p( \overset{\_}{C} )}{p(D)}{p(C)}^{2}f_{12}^{2}f_{16}^{2}} + {2{p( \overset{\_}{D} )}^{4}{p( \overset{\_}{C} )}^{3}{p(D)}^{2}f_{12}f_{16}} +} \\{{p( \overset{\_}{D} )}^{2}{p( \overset{\_}{C} )}{p(D)}{p(C)}^{2}f_{12}^{2}f_{16}^{2}}\end{matrix}}$

But this can be reduced, by substitution with p(C), the probability thatcontamination has occurred, and p( C), the probability thatcontamination has not occurred to:—

${L\; R} = \frac{1}{2f_{12}{f_{16}\lbrack {1 + \frac{f_{12}f_{16}{p(C)}^{2}}{{p(D)}{p( \overset{\_}{D} )}^{2}{p( \overset{\_}{C} )}^{2}}} \rbrack}}$

p(C) can be estimated from a history of observation and/or can bedetermined for a laboratory, for instance, by a series of negativecontrol tests and a consideration of spurious bands arising in those.

p(D) can also be estimated from a history of observation and/or can bedetermined by experimentation.

Example Evaluation of Stutter Impact

As a further example to the accounting for possible contamination andlocus/allele drop out discussed above this example considers stutterimpacts.

In the example calculation set out in Table 2 (FIG. 4) the positionwhere the first individual result gives a,b,c and individual result twogives a,c is considered relative to a suspect who is ac and where b is astutter position.

Thus in Table 2, column 1 gives the three reasonable possible identitieswhich could have given the individual results and column 2 is theprobability of those possible identities occurring.

The expressions in column 3 are derived as follows. Where the result isa,b,c and the identity being considered is a,b then the result couldhave occurred p(C)² where both a and b did not drop out (hence p( D)²),where a spurious report occurs to provide c (hence p(C)f_(c)), and whereno stutters for either a or b are reported (hence). In the next row theprocess generates p( D)² (as both a and c report); p( St) (as there isno stutter for a); and the combination of p(St).p(C) and p(St).p(C)f_(b) (to account for the b arising as a stutter rather thanspurious and the b arising as a spurious not stutter respectively).

Again the products of columns 2, 3 and 4 for column 5 and thedenominator in the likelihood ratio is the sum of column 5, thedenominator being the product of columns 3 and 4 of row 3. This gives:—

$\frac{{p( \overset{\_}{D} )}^{4}{p( \overset{\_}{C} )}{{p( {\overset{\_}{S}t} )}^{3}\lbrack {{{p({St})}{p(C)}} + {{p( {\overset{\_}{S}t} )}{p(C)}f_{b}}} \rbrack}}{\begin{matrix}\begin{matrix}{{2f_{a}f_{b}f_{c}^{2}{p( \overset{\_}{D} )}^{3}{p(D)}{p(C)}^{2}{p( {\overset{\_}{S}t} )}^{4}} +} \\{{2f_{a}f_{c}{p( \overset{\_}{D} )}^{4}{p( \overset{\_}{C} )}{{p( {\overset{\_}{S}t} )}^{3}\lbrack {{{p({St})}{p( \overset{\_}{C} )}} + {{p( {\overset{\_}{S}t} )}{p(C)}f_{b}}} \rbrack}} +}\end{matrix} \\{2f_{a}^{2}f_{b}f_{c}{p( \overset{\_}{D} )}^{3}{p(D)}{p(C)}^{2}{p( {\overset{\_}{S}t} )}^{3}}\end{matrix}}$

Again through substitution this can be reduced to:—

${L\; R} = \frac{1}{2f_{a}{f_{c}\lbrack {1 + \frac{{p(C)}^{2}{p(D)}{f_{b}( {f_{a} + {{p( {\overset{\_}{S}t} )}f_{c}}} )}}{{p( \overset{\_}{C} )}{p( \overset{\_}{D} )}\{ {{{p({St})}{p( \overset{\_}{C} )}} + {{p( {\overset{\_}{S}t} )}{p(C)}f_{b}}} \}}} \rbrack}}$

The types of function used to achieve the likelihood ratio can of coursecombine consideration of contamination, locus/allele dropout and stuttereffect in a single case. Other such potential sources of information,such as sub-population effects is also possible. This is desirable bothbecause it is more consistent with the approaches employed in otherareas of DNA interpretation but more importantly because it followslogically from the correct consideration of the conditional nature ofthe probability of a genotype of possible offenders GIVEN the suspect'sgenotype. All that is required is to replace p(M_(j)) with theconditional probability p(M_(j)|M_(s)).

Likelihood ratios calculated in this way take into account all of theindividual results obtained by the analysis process.

Determining Impact of Variations in Probability of Other InformationSources Contributing

As well as enabling the calculation of accurate likelihood ratios in DNAanalysis, the equations also enable the impact of the likelihood thatcontamination occurs, dropout will occur or stutter will occur upon theanalysis process to be considered. Such an investigation can be used todetermine appropriate thresholds for those probabilities before whichcertain approximations can be deemed to be held true and beyond whichcertain approximations can be deemed to not hold true. This is,potentially pre-calculated information, could be stored and then used ina DNA analysis technique to determine whether the results obtained canbe processed using an analysing process in which approximations forlikelihood ratios or other presentation of the results are used. Thisconcept is discussed in more detail below together with additionaldetails of the particular approximations which might be used inparticular circumstances or scenarios.

Using Approximations in Analysis and Results, with Check on ValidityConditions for the Approximation

Whilst the initial embodiment of the invention sets out detailedcalculation rates for likelihood ratios which take into account each andevery one of the results fully, the functions used therein can besimplified in certain cases. For instance the formulae accounting forpotential contamination and potential allele dropout:—

${L\; R} = \frac{1}{2f_{12}{f_{16}\lbrack {1 + \frac{f_{12}f_{16}{p(C)}^{2}}{{p(D)}{p( \overset{\_}{D} )}^{2}{p( \overset{\_}{C} )}^{2}}} \rbrack}}$

gives a scaling factor of 1 provided p(C)<0.3 and hence the likelihoodratio approaches:—

${L\; R}\bigcup\frac{1}{2\; f_{12}f_{16}}$

Thus provided this threshold is not crossed the likelihood ratio can bevalidly calculated based on a substantial simplification.

Using this process a series of practical situations were considered andthe impact of contamination and/or locus allele dropout and/or stutterwere considered with a view to determining the appropriateapproximations for such situations and the threshold considerations forthe applicability of such approximations.

Example 1A Apparently Single Banded Profiles

When an apparent one-banded homozygotes is encountered in a crime stain(R₁=a) and the peak area is small, this may mean that allele dropout hasoccurred i.e. the genotype may in fact be heterozygous. This isconsidered a possibility whenever the peak is close to background. Atlow peak area, our experimental observation confirms that theprobability of allele dropout (p(D) is high. If the allele in the crimestain is type a and the suspect is type ab then it would seem reasonableto limit M_(j) to aa, ab or aF wherein F stands for any allele otherthan type a or type b. This gives, b the general process describedabove:—

${L\; R} = \frac{1}{2\; {f_{a}\lbrack {1 + {\frac{1 - {2\; {p(D)}}}{2\; {p(D)}}f_{a}}} \rbrack}}$

Provided that p(D)>0.5, the scaling function

$\frac{1}{1 + {\frac{1 - {2\; {p(D)}}}{2\; {p(D)}}{fa}}} \geq 1.0$

as illustrated in FIG. 5 which is always reasonable when the peak isclose to the background, then the approximation is demonstrated to beconservative and

${L\; R} \approx \frac{1}{2\; f_{a}}$

Example 1B Apparently One Banded Profiles Effect of One AdditionalReplicate

Taking the previous example, we now consider the advantages ofreplication, where an additional aliquot (R₂) of the same DNA extract isseparately amplified. Suppose that the second replicate yields aheterozygote ab that matches the suspect's profile (Suspect=ab; R₁=a−;R₂=ab).

We take account of three possible explanations of the evidence—eitherM₁=aa homozygote, else M₂=ab heterozygote. If the first explanation istrue then the b allele must be a spurious band. In this example the LRwould be reported as LR=½fa because only the a allele was duplicated.The formula that describes this model is:

${L\; R} = \frac{1}{2\; f_{a}{f_{b}\lbrack {1 + \frac{f_{a}{p(C)}}{2\; {p(D)}{p( \overset{\_}{D} )}{p( \overset{\_}{C} )}}} \rbrack}}$

This expression is always less than ½f_(b) but the ½f_(a) evaluation isa conservative approximation whenever

$\frac{1}{f_{b}\lbrack {1 + \frac{f_{a}{p(C)}}{2\; {p(D)}{p( \overset{\_}{D} )}{p( \overset{\_}{C} )}}} \rbrack} \geq 1.0$

and this is true for all reasonable estimates of p(C) and p(D).

If a locus appears homozygous with allele a, but allele drop-out couldhave occurred, so that the locus was really a heterozygote, theninterpretation using ½f_(a) is reasonable provided that contamination islow and the allele peak area itself is small or close to the baseline.

Example 1C Additional Replicates Increase the LR

Continuing with the previous example, we consider the effect ofadditional (n) replicates that have been analysed and demonstrated toall correspond to the genotype of the suspect (ab in this example). Thesuspect is ab; R₁; R_(2.n)=ab (i.e. a total of n+1 replicates wereanalysed). The general formula that describes R₁=a− and n=the number ofreplicates that the genotype ab is:

${L\; R} = \frac{1}{2\; f_{a}{f_{b}\lbrack {1 + \frac{f_{a}f_{b}^{n - 1}{p(C)}^{n}}{2\; {{p(D)}\lbrack {{p( \overset{\_}{D} )}{p( \overset{\_}{C} )}} \rbrack}^{n}}} \rbrack}}$

Provided that n is greater than or equal to 2, the guideline will allowthe reporting of LR=½f_(a)f_(b) because both alleles are duplicated. TheLR calculated from this equation will always be less than this but isnevertheless a very close approximate (see FIG. 6 a) for mostintermediate values of p(D). It is noted that the different between n=2and n=3 is minor in these simulations. Also that the actual values ofp(D) and p(C) have very little effect on the final estimate (see FIGS. 6a and 6 b) provided that the latter is less than 0.6 (which it shouldalways be). If n=1 then the LR is conservative relative to ½f_(a).

Example 2a An Example where an Allegedly Contaminant Band is Observed inConjunction with Allele Dropout

The next example is more extreme than those previously discussed.Suppose that a replicate (R₁) matches the suspect at one allele (b), buthas an additional allele (c) that is not found in the suspect under theprosecution hypothesis (H₁). Furthermore, we assume that there is notrace of allele a. We assess the condition where the suspect is ab; R₁is bc; R₂ is ab by consideration of the genotypes (M_(j)) ab, ac, bc andbb:

${L\; R} = \frac{1}{2\; f_{a}{f_{b}\lbrack {2 + \frac{f_{b}{p(D)}{p(C)}}{{p( \overset{\_}{D} )}{p( \overset{\_}{C} )}} + \frac{f_{b}{p(C)}}{2\; {p( \overset{\_}{D} )}{p(D)}{p( \overset{\_}{C} )}}} \rbrack}}$

The reporting guideline would only allow reporting of the duplicated ballele hence the reported likelihood ratio would be LR=½f_(b). There wasvery little effect contributed by p(D) since the scaling function wasalways greater than 1.0 even when p(C) was moderately high (see FIG. 7a, 7 b) demonstrating the conservative nature of the reportingguideline.

Example 2b Example where an Allegedly Contaminant Band is Observed

Suppose that the suspect is ab; R₁=abc (where c is a supposedly acontaminant allele under ₁) and R₂=ab. We limit the possible (M_(j))genotypes to ab, ac or bc and we evaluate against the guidelineLR≈½f_(a)f_(b) (see FIGS. 8 a, 8 b). Evaluated against p(C)=0.3, theapproximation is reasonable provided that f_(a) is less than 0.10 andp(D) is less than 0.50.

$\frac{1}{2\; f_{a}{f_{b}\lbrack {1 + {{p(D)}{p(C)}( \frac{f_{a} + f_{b}}{\; {{p( \overset{\_}{D} )}{p( \overset{\_}{C} )}}} )}} \rbrack}^{-}}$

Example 3a In the Case of the Stutter Counting for Formula DescribedAbove:—

${L\; R} = \frac{1}{2\; f_{a}{f_{c}\lbrack {1 + \frac{{p(C)}^{2}{p(D)}{f_{b}( {f_{a} + {{p( \overset{\_}{St} )}f_{c}}} )}}{{p( \overset{\_}{C} )}{p( \overset{\_}{D} )}\{ {{{p({St})}{p( \overset{\_}{C} )}} + {{p( \overset{\_}{St} )}{p(C)}f_{b}}} \}}} \rbrack}}$

The scaling function is always less than 1, (as demonstrated by FIG. 9)and LR approximates to ½f_(a)f_(c). Investigation of this establishesthat it is a good approximation provided p(St)>0.5 and p(C)<0.3.

Example 3b Extension of the Dropout Definition and Evaluation of anActual Example

50PCR replicates of a sample that had 4 homozygous STRs and 6heterozygous loci were analysed. We now expand the definition of p(D) asfollows:

p(D_(Ho))—the probability of dropout given that the locus is homozygous.p(D_(He))—the probability that a given allele drops out given that thelocus is heterozygous.p(D_(He2))—the probability that both alleles drop out given that thelocus is heterozygous.

In the following calculations the p(D) parameters were either assignedthe actual observed values in table 3 (FIG. 10) or if not available,e.g. (pD_(He)) for locus D8S51179, the mean across available loci wasused instead. By observation, p(C) did not exceed 0.2 for any locus andthis value was adopted throughout. Allele frequencies were used from awhite Caucasian database.

From two of the replicates, we consider an extreme observation in table5 for the locus D3S1358. The suspect is 18,18; R₁=15,18 and R₂=15,18.Conventional analysis may indicate the results to be either inconclusiveor an exclusion since a spurious allele is duplicated in the replicates.Using the formula below, limiting our considerations of M_(j) genotypesto 15,15; 15,18 and 18,18; the LR=0.068. The evidence supportsexclusion, but importantly, the LR is greater than zero.

${L\; R} = \frac{1}{f_{18^{2}}\lbrack {2 + \frac{2\{ {{p( {\overset{\_}{D}}_{He} )}^{2}{p( \overset{\_}{C} )}} \}^{2}}{\{ {{p( {\overset{\_}{D}}_{Ho} )}{p(C)}} \}^{2}f_{15}f_{18}}} \rbrack}$

At locus D8 the suspect is 15 15; R1=R2=15 F. The M_(j) genotypes arelimited to 15 15 and 15 F:

${L\; R} = \frac{1}{2\; {f_{15}\lbrack {\frac{f_{15}}{2} + \frac{\{ {{p( {\overset{\_}{D}}_{He} )}{p( D_{He} )}} \}^{2}( {1 - f_{15}} )}{{p( {\overset{\_}{D}}_{Ho} )}^{2}}} \rbrack}}$

In HUMTH01, R₁ was analysed as 7 F whereas R₂ failed to give a result.The suspect is 7 9.3. Our evaluation of the LR is limited to 7 F; 7 7and 7 9.3 genotypes. However, the observation that 2 alleles havedropped out in R₂ is also built into the LR calculation below as shownin table 3.

${L\; R} = \frac{1}{2\; {f_{7}\lbrack {1 + \frac{{p( {\overset{\_}{D}}_{Ho} )}{p( D_{Ho} )}f_{7}}{2\; {p( {\overset{\_}{D}}_{He} )}{p( D_{He} )}{p( D_{{He}\; 2} )}} - f_{7}} \rbrack}}$

Similarly for VWA, R₁ failed to give a result and only one allele wasobserved in R₂. Our genotype considerations are limited to 19 19 and 19F. The suspect is 19 19:

${L\; R} = \frac{1}{2\; {f_{19}\lbrack {\frac{f_{19}}{2} + \frac{{p( {\overset{\_}{D}}_{He} )}{p( D_{{He}\; 2} )}( {1 - f_{19}} )}{{p( {\overset{\_}{D}}_{Ho} )}{p( D_{Ho} )}}} \rbrack}}$

For D16S539, R₁ is 9 12 and ″₂ failed to give a result. We limit theevaluation of 9 9, 9 12 and 12 12 M_(j) genotypes, considering thepossibility of spurious alleles. The suspect is 9 12. Again we build theR₂ observation into the LR below:

${L\; R} = \frac{1}{2\; f_{9}{f_{12}\lbrack {1 + \frac{{p( {\overset{\_}{D}}_{Ho} )}{p( D_{Ho} )}{p(C)}\{ {f_{9} + f_{12}} \}}{2\; {p( {\overset{\_}{D}}_{He} )}^{2}{p( \overset{\_}{C} )}{p( D_{{He}\; 2} )}}} \rbrack}}$

D18S51 is straight-forward since the 12 16 genotype was observe in bothreplicates. The analysis of D2S133 follows from the equation applied toHUMTH01 above.

Examination of the individual LRs calculated using these equationsreveals that all are either conservative or very close to the estimatesderived by calculating LR=2f_(a) for homozygotes or LR=2f_(a)f_(b) forthe D16S539 heterozygote (table 3). When complete locus dropout isobserved in a replicate this has very little effect, i.e. the scalingfunction 4.0.

The combined LR across all loci=68,000 (using a white Caucasiandatabase) and this serves to demonstrate that apparent allele mismatchescaused by contamination do not necessarily lead to exclusions.

As is demonstrated by these various examples, therefore, the presentinvention generally provides a technique which can be used to evaluatethe impact of variations in the probabilities of occurrence of variousother information sources and extend that information to verification ofthe accuracy in applying certain assumptions to DNA analysis techniques.

1. A method of comparing one or more reference samples of DNA in whichthe reference samples are from known individuals and/or associated withother known factors with at least part of a test sample of DNA from aknown individual and/or be associated with one or more other knownfactors, the method including:— the determination of the identity of thealleles present at a locus for the DNA in the test sample, thedetermination defining an individual test result, the determinationbeing performed for a plurality of loci to give a plurality ofindividual test results, the consideration of one of the plurality ofindividual test results against the individual reference result of oneof the reference samples for the respective loci, the considerationinvolving an expression of the probability that the individual referenceresult for that locus could lead by various possible routes to theindividual test result for that locus, the possible routes to theindividual test result including routes where spurious informationcontributes to the individual test result, the expression of theprobably is a probability function and the probability function includesa probability that contamination may occur, a probability that stuttermay occur, a probability that allele dropout may occur, and aprobability that artifact reporting may occur; the consideration beingrepeated for a plurality of loci, the expressions of probability thatthe individual reference result could lead to the individual test resultfor the plurality of loci being combined to give an expression of theprobability that the test sample matches the reference sample bycalculating a likelihood ratio.
 2. A method of comparing one or morereference samples of DNA with at least part of a test sample of DNA, themethod including:— the determination of the identity of the allelespresent at a locus for the DNA in the test sample, the determinationdefining an individual test result, the determination being performedfor a plurality of loci to give a plurality of individual test results,the consideration of one of the plurality of individual test resultsagainst the individual reference result of one of the reference samplesfor the respective loci, the consideration involving an expression ofthe probability that the individual reference result for that locuscould lead by various possible routes to the individual test result forthat locus, the possible routes to the individual test result includingroutes where spurious information contributes to the individual testresult; the consideration being repeated for a plurality of loci, theexpressions of probability that the individual reference result couldlead to the individual test result for the plurality of loci beingcombined to give an expression of the probability that the test samplematches the reference sample by calculating a likelihood ratio.
 3. Amethod according to claim 1 in which the reference samples are fromknown individuals and/or associated with other known factors, such aslocations, items or events.
 4. A method according to claim 1 in whichthe test sample is from a known individual and/or be associated with oneor more other known factors, such as a location, item or event thesample was recovered from.
 5. A method according to claim 1 in which theconsideration involves the determination of a likelihood ratio, thelikelihood ratio accounting for the probability of the individual sampleresult arising from the individual reference result against theprobability of the individual sample result arising from other than theindividual reference result.
 6. A method according to claim 1 in whichthe consideration involves the probability of the individual test resultarising given that individual reference result, including throughspurious information occurrence, for each individual test result,divided by the product of the probability of the individual test resultarising from other than the individual reference result, includingthrough spurious information occurrence, and the frequency of thatindividual reference result in a population, for each individual testresult.
 7. A method according to claim 1 in which in order to evaluateda mixture for a known and unknown contributor scenario, the likelihoodratio is the probability of the individual test result arising from anindividual stored result, and other than the individual stored resultdivided by the probability of the individual test result arising fromother than the individual stored result and from other than theindividual stored result.
 8. A method according to claim 1 in which theprobability of observation of alleles is calculated from the frequencyof occurrence in relevant populations and used in the consideration. 9.A method according to claim 1 in which, where contamination is necessaryto lead to the individual test result the probability includes aprobability term for spurious allele occurrence.
 10. A method accordingto claim 1 in which, where contamination must not occur to lead to theindividual test result the probability includes a probability term forspurious allele non-occurrence.
 11. A method according to claim 1 inwhich, where stutter is necessary to lead to the individual test resultthe probability includes a probability term for stutter occurrence. 12.A method according to claim 1 in which, where stutter must not occur tolead to the individual test result the probability includes aprobability term for stutter non-occurrence.
 13. A method according toclaim 1 in which, where allele dropout is necessary to lead to theindividual test result the probability includes a probability term forallele dropout occurrence.
 14. A method according to claim 1 in which,where allele dropout must not occur to lead to the individual testresult the probability includes a probability term for allele dropoutnon-occurrence.
 15. A method according to claim 1 in which, whereartifact reporting is necessary to lead to the individual test resultthe probability includes a probability term for artifact reportingoccurrence.
 16. A method according to claim 1 in which, where artifactreporting must not occur to lead to the individual test result theprobability includes a probability term for artifact reportingnon-occurrence.
 17. A method according to claim 1 in which theprobability function includes a probability that contamination mayoccur, the probability that contamination may occur being determined byone or more control determinations.
 18. A method according to claim 1 inwhich the probability function includes a probability that stutter mayoccur, the probability that stutter may occur being determined by one ormore control determinations.
 19. A method according to claim 1 in whichthe probability function includes a probability that allele dropout mayoccur, the probability that allele dropout may occur being determined byone or more control determinations.
 20. A method according to claim 1 inwhich, the probability function includes a probability that artifactreporting may occur, the probability that artifact reporting may occurbeing determined by one or more control determinations.
 21. A methodaccording to claim 1 in which the consideration is applied to all locifor which individual stored results and individual test results exist.22. A method according to claim 1 in which the combination ofprobabilities produced by the respective considerations is obtained bymultiplying the probabilities together.
 23. A method according to claim1 in which two or more different determinations of the identities of thealleles in the test sample are performed, the method of claim 2 beingapplied to each set of individual test results thereby obtained, theexpression of a likelihood ratio for respective sets of individual testresults being considered against one another and/or combined.
 24. Amethod of indicating a likelihood ratio that evaluates that at least apart of a DNA test sample arose from a known source, the methodinvolving:— one or more determinations of the identity of the allelespresent at a locus for the DNA in the test sample, each determinationdefining an individual test result; the determination of at least someof the theoretical allele identities which could have produced a givenindividual test result, these identities forming the individualreference results; the determination of the identity of the allelespresent at the locus for the DNA from the known source; one of thetheoretical allele identities being the identity determined for thatlocus for the known source; the provision of a probability function foreach individual reference result considered which is representative ofat least some of the various possible routes by which that givenindividual reference result may lead to the given individual testresult, that probability function further being representative of thelikelihood of that individual reference result's occurrence and thepossible routes to the individual test result which includes routeswhere spurious information contributes, this probability functiondefining the theoretical probability functions; the theoreticalprobability functions for different individual reference results beingcombined to give an indication of the various ways in which the givenindividual test result could be reached, this combination forming thecombined theoretical probability function; the provision of aprobability function for the individual reference result matching theknown source's identity, which is representative of the manner in whichthat individual reference result leads to the individual test result,this forming the known sources theoretical function; the known source'stheoretical function and combined theoretical function being consideredtogether to calculate the likelihood ratio.
 25. A method according toclaim 24 in which at least part of a DNA sample refers to one source ofa multi-source or mixed sample.
 26. A method according to claim 24 inwhich the known source refers to a known individual and/or be associatedwith one or more other known factors, such as a location, item or eventthe sample was recovered from.
 27. A method according to claim 24 inwhich the theoretical identities are determined from the allelesindicated in the individual test result, those theoretical identitieswhich could reasonably lead to the individual test result beingdetermined.
 28. A method according to claim 24 in which the provision ofa probability function involves the probability of getting thatindividual test result in any way, including through spuriousinformation occurrence, and the frequency of that theoretical identityin a population, for each individual test result.
 29. A method accordingto claim 24 in which the theoretical probability function for eachindividual reference result theoretical identity is defined in part by aprobability for that individual reference results identity occurrence ina population.
 30. A method according to claim 24 in which thetheoretical probability function for each individual reference result isdefined in part by a probability for the various occurrences which wouldresult in that individual reference result giving the individual testresult.
 31. A method according to claim 24 in which theoreticalprobability functions are provided to account for each of the individualtest results determined for a locus in the aforementioned manner.
 32. Amethod according to claim 30 in which the theoretical probabilityfunctions for each individual test result given an individual referenceresult are combined.
 33. A method according to claim 24 wherecontamination is necessary to lead to the individual test result theprobability includes a probability term for spurious allele occurrenceand/or where contamination must not occur to lead to the individual testresult the probability includes a probability term for spurious allelenon-occurrence and/or where stutter is necessary to lead to theindividual test result the probability includes a probability term forstutter occurrence and/or where stutter must not occur to lead to theindividual test result the probability includes a probability term forstutter non-occurrence and/or where allele dropout is necessary to leadto the individual test result the probability includes a probabilityterm for allele dropout occurrence and/or where allele dropout must notoccur to lead to the individual test result the probability includes aprobability term for allele dropout non-occurrence and/or where artifactreporting is necessary to lead to the individual test result theprobability includes a probability term for artifact reportingoccurrence and/or where artifact reporting must not occur to lead to theindividual test result the probability includes a probability term forartifact reporting non-occurrence.
 34. A method according to claim 24 inwhich the various possible routes for the individual reference resultgiving the individual test result include contamination giving one ormore alleles in the individual test result not present in the individualreference result.
 35. A method according to claim 24 in which thevarious possible routes for the individual reference result giving theindividual test result include stutter giving one or more alleles in theindividual test result not present in the individual reference result.36. A method according to claim 24 in which the various possible routesfor the individual reference result giving the individual test resultinclude amplification of artifacts giving one or more alleles in theindividual test result not present in the individual reference result.37. A method according to claim 24 in which the various possible routesfor the individual reference result giving the individual test resultinclude allele drop out giving one or more alleles missing in theindividual test result present in the individual reference result.
 38. Amethod according to claim 24 in which the theoretical probabilityfunctions are combined to give the overall combined theoreticalprobability function by summing the theoretical probability functionstogether.
 39. A method according to claim 24 in which the provision ofthe probability function for the individual reference involves theprobability of getting that individual test result given that individualreference result, including through spurious information occurrence, foreach individual test result.
 40. A method according to claim 24 in whichthe likelihood ratio accounts for the probability that a givenindividual reference result/theoretical identity leads to the individualtest result against the probability that the individual test result waslead to in another way.